most citedPredicting Depression Severity by Multi-Modal Feature Engineering and Fusion

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2017★ 5 cited

Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion

Aven Samareh, Yan Jin, Zhangyang Wang +2

We present our preliminary work to determine if patient's vocal acoustic, linguistic, and facial patterns could predict clinical ratings of depression severity, namely Patient Heal…